Staff Data Scientist / ML Engineer

TELUS Digital Brazil; São Paulo, Porto Alegre; Híbrido; BRL 160.000 - 200.000; Tempo integral

Resumo da oferta

A TELUS Digital Brasil está buscando um Data Scientist / Machine Learning Engineer para desenvolver soluções de machine learning e trabalhar em grandes conjuntos de dados. O candidato ideal terá experiência prática e será capaz de resolver problemas complexos pelos dados. Junte-se a uma equipe internacional e inovadora, colaborando com marcas de renome em um ambiente flexível que valoriza a inovação e o impacto.

Serviços

Plano de saúde e dental

Seguro de vida

Vale mensal para alimentação, cultura, educação e saúde

Assistência à creche

Qualificações

• Experiência relevante em desenvolvimento de machine learning.
• Proficiência em Python e frameworks de machine learning.
• Capacidade de trabalhar com dados estruturados e não estruturados.

Responsabilidades

• Desenvolver e entregar soluções de machine learning para nossos clientes.
• Colaborar na definição de problemas, aquisição e exploração de dados.
• Estabelecer processos automatizados para modelagem em larga escala.

Conhecimentos

Python

Machine learning

Data analysis

Formação académica

Bacharelado ou Mestrado em Estatística, Matemática, Física ou Ciência da Computação

Ferramentas

Keras

TensorFlow

PyTorch

scikit-learn

Descrição da oferta de emprego

Who We Are

Welcome to TELUS Digital, where innovation meets impact. As an award-winning digital product consultancy, we're shaping the future of digital experiences through cutting-edge technology, agile thinking, and a culture that puts people first.
We are the global digital section of TELUS, one of Canada’s largest telecommunications providers. Our global teams deliver transformative digital solutions and customer experiences for industry leaders in consumer electronics, finance, telecommunications, and utilities. With robust multi-shore delivery capabilities, multi-language programs, and secure infrastructure, we ensure exceptional service backed by our multi-billion-dollar parent company.

Location and Flexibility

This role can be fully remote for candidates based in the states of São Paulo and Rio Grande do Sul as well as in the cities of Rio de Janeiro, and Belo Horizonte, due to team distribution and occasional in-person opportunities. If you are based in São Paulo or Porto Alegre, you are welcome to work from one of our offices on a flexible schedule.

The Opportunity

As a Data Scientist / Machine Learning Engineer on our team, you'll design, develop, and deliver machine learning solutions, decipher loosely defined problems using complex datasets, and determine appropriate analytical and modeling techniques. You'll analyze structured and unstructured data, establish automated processes for large-scale modeling, perform exploratory analysis, and collaborate with peers on data acquisition and exploration, demonstrating a strong sense of ownership and urgency.

Responsibilities

• Work on all aspects of the design, development and delivery of machine learning enabled solutions for our clients;
• Come up with solutions to loosely defined business problems by leveraging pattern detection over complex datasets across multiple platforms;
• Establish efficient, automated processes for large-scale modeling;
• Become part of a highly skilled and geographically distributed team;
• Collaborate with peers on problem definitions, data acquisition, data exploration, visualization as well as building the tools that support this process;
• Strong sense of ownership, urgency and drive.

Qualifications

• Relevant experience in data science/ machine learning development
• Bachelor and/or Master degree in Statistics, Mathematics, Physics, Computer Science or other related subject.
• Proficiency in Python.
• Experience with machine learning frameworks (like Keras, TensorFlow, or PyTorch) and libraries (like scikit-learn).
• Strong understanding of machine learning algorithms, processes, tools and platforms.
• Ability to work on distributed cloud platforms

Bonus Points:

• Experience with container management and machine learning deployment frameworks, such as Kubernetes, Kubeflow and MLFlow.
• Software development experience from scoping, requirements design, development, integration, testing, go live to PROD (vs internal research work)

Why TELUS Digital?

At TELUS Digital, you'll work with world-class brands like FOX, HBO, PepsiCo, and Domino's, building transformative digital products that impact millions. Our global reach allows you to collaborate with diverse, international teams, solving complex problems and delivering tech-driven solutions that matter.
We thrive on engineering excellence, using the latest technologies in cloud computing, AI, machine learning, DevOps, microservices architecture, and data engineering. Our teams embrace Agile methodologies, continuous integration and deployment (CI/CD) pipelines, and a DevOps-first mindset to deliver solutions at scale.

In addition to being part of an international and innovative consultancy company, you will have:

• A Global Innovation Hub: Be part of an international consultancy at the forefront of technology
• Work-Life Harmony: Enjoy flexible hours and autonomy to balance your professional and personal life
• Cutting-Edge Tech Playground: Dive into the latest technologies and shape the future of digital solutions
• Prestigious Partnerships: Collaborate with world-renowned brands, making a real impact in the market
• Growth-Centric Environment: Thrive in our collaborative ecosystem with a clear career development path
• Global Exposure: Embrace optional international travel opportunities to broaden your horizons

Some of our benefits:

• Health and dental plan
• Life insurance
• Monthly voucher for meals, culture, education, health and mobility
• Child care assistance and more!

At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. We are committed to building an inclusive team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Therefore we provide equal employment opportunities to all employees and applicants regardless of race, color, religion, gender identity, sexual orientation, national origin, age, or disability.

We will only use the information you provide to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that Information with us.

For more information on how we use your information, see our Privacy Policy.

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